Case Study: Bayshore Healthcare improves patient support triage with Architech’s AI segmentation and adherence forecasting

Bayshore Healthcare redesigns patient support with Architech’s AI workflows and 100% AI-powered segmentation

Bayshore Healthcare, a Canadian healthcare organization, faced a challenge as its patient support teams could not identify which specialty-medicine patients were most at risk of never starting therapy or dropping off. Adherence signals were fragmented across systems with no common view, and risk was only discovered after a patient had already lapsed. Partnering with vendor Architech through the Scale AI acceleration program, they sought to redesign their patient support workflow.

Architech implemented a solution featuring two AI models: a segmentation model to cluster patients by likely barriers and an adherence-forecasting model to score drop-off risk for each patient. Built on Microsoft Fabric, the system routes high-risk patients to earlier outreach and embeds model outputs directly into care-team tooling. This AI-driven workflow redesign by Architech allows Bayshore to intervene earlier with at-risk patients and has improved the efficiency of its operations by focusing care team efforts where they are most needed.

Bayshore Healthcare